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The evolution of the socioeconomic gap in

fertility among adolescents in Chile,

1990-2011

La evolución del diferencial socioeconómico en

fecundidad entre los adolescentes en Chile,

1990-2011

A evolução do diferencial socioeconômico na

fecundidade de adolescentes no Chile,

1990-2011

1 Instituto de Políticas Públicas, Universidad Diego Portales, Santiago, Chile. Correspondence R. Castro

Instituto de Políticas Públicas, Universidad Diego Portales.

Ejercito #260 Santiago de Chile, Santiago / Metropolitana – 8370056, Chile.

[email protected]

Ruben Castro 1

Abstract

For research and policy issues, it is very important to measure the evolution of socioeconomic dif-ferences in the adolescent fertility rate over time (AFER) in order to be able to provide a quantita-tive description of such an evolution. By combin-ing well reputed Chilean data, this study com-putes a ratio of AFER (15-17 years-old) between the 30% of the population living in economically worst off areas (the numerator) against the cor-responding 30% better off segment of the popu-lation (the denominator). This ratio of AFER by relative socioeconomic status shows a stable evolution from 1.45 in the year 1990 to 1.10 in 2011. Sexual initiation, whose association with AFER is well established, also shows a dropping ratio, from 1.24 in 1997 to 1.01 in 2012. The size of some dimensions of socioeconomic inequalities in adolescent fertility and sexual initiation has being decreasing between 1990 and 2011. This ex-ercise shows that even in Chile, the most unequal country among the Organisation for Economic Co-operation and Development, there are some improvements in health inequality.

Fertility; Sexual Behavior; Adolescent

Resumen

Debido a complicaciones metodológicas y polí-ticas es muy importante mensurar la evolución de las diferencias socioeconómicas en las tasas de fecundidad adolescente (AFER), con el fin de ser capaz de proporcionar una descripción cuantita-tiva de tal evolución. Combinando datos chilenos de buena calidad, este estudio computa una ra-zón de AFER (15-17 años) entre el 30% de la po-blación que reside en áreas de menor nivel socioe-conómico (numerador) versus el correspondiente 30% en áreas de mayor nivel (denominador), entre 1990 y 2011. La razón de AFER por nivel socioeconómico muestra una evolución estable desde 1,45 en 1990 a 1a10 en el año 2011. La ini-ciación sexual, cuya asoini-ciación con AFER es co-nocida, también muestra una razón decreciente, desde 1,24 en 1997 a 1,01 en 2012. El tamaño de algunas dimensiones de las desigualdades socioe-conómicas en la fecundidad adolescente y la ini-ciación sexual disminuyó entre 1990 y 2011. Este ejercicio muestra que incluso en Chile, el país más desigual en la Organización para la Cooperación y el Desarrollo Económicos, hay claras mejoras en algunas dimensiones de la desigualdad en Salud.

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Background

The adolescent fertility rate (AFER) is a key di-mensions of adolescents’ reproductive health, and is usually linked to socioeconomic status (SES).

But only a few studies follow the evolution of inequality in adolescent fertility across time, and they use follow-up data that is not available in most countries, and use absolute rather than relative measures of SES.

Absolute measures, such as education level and race, are likely to change their “prevalence” across time 1 and are not standard measures

across countries, jeopardizing the comparison of health outcomes. A relative measure, like the rank-position of the observation in a socioeco-nomic ladder, can be compared across time and places.

This study quantitatively describes the evolu-tion of AFER by SES, and, to support the findings, the evolution of adolescents’ sexual initiation (ASEX) by SES is also included. AFERs and ASEX are closely related. ASEX is usually regarded as a proximate determinate of AFER 2. In developed

countries, AFERs are probably the only fertility rates where sex plays a major role. Indeed, the median age at sexual initiation has decreased in recent decades in Chile 3, while AFERs have

re-mained stable or even increased 4,5.

This study aims to describe quantitatively the evolution of the relative-SES ratio of adolescent (15-17 years old) fertility rates and sexual initia-tion in Chile on each year between and 1990-2011 or 1997-2012, respectively.

Methods

AFERs by SES are difficult to measure. AFERs are small (less than 4% of 15-17 year old women have a child in any recent given year in Chile 5), so

ei-ther large surveys or vital records are required to estimate them. However, large surveys are cost-ly and vital records usualcost-ly do not include rich socioeconomic information, aside from a few variables regarding parents’ education and em-ployment status. Measuring adolescents’ SES re-quires somewhat complex socioeconomic data 6.

However, if the vital records include complete da-ta on place of residence, a geographic SES can be computed and used to compare across time and countries, in a relatively easy manner, the ratio of AFERs (or another health measure) between the X% of the population living in the lowest and highest income areas.

Chilean comunas, a very important territo-rial and administrative unit, are used here as

geographic and socioeconomic areas. Comunas are very heterogeneous, ranging from isolated and unpopulated areas to metropolitan areas with over 400,000 individuals each. The socio-economic comuna-level data is estimated using data from the Encuesta de Caracterización Socio-económica Nacional (CASEN). CASEN is by far the largest and most influential socioeconomic survey in Chile, and it uses comunas as a second-level sampling unit. There are roughly 350 comu-nas in Chile, around two thirds of them included in the CASEN sample. Two groups are defined in this study, by sorting the average household per-capita-wage in each comuna and then form-ing two groups of comunas: a high and a low relative SES group. Comunas in between the two groups are not included in the analysis. Each year from 1990 to 2011 that CASEN is conducted, the grouping is carried out so that the percentage of females aged 15-17 in each group is as close as possible to 30% (it ranges between 28% and 31%). The 30% percent rule is chosen as an equilibrium between the size of each group and the size of the difference in AFER. AFER by SES is defined then as single-year live births over mid-year popula-tion among 15-17 year old females. Results are similar if a 15-19 age range is used instead. Deliv-eries by SES are taken from Chile’s official micro data (missing data is estimated to be under 5% since 1990 and about 1% since 2004), which in-cludes the comuna where the mother lives. Total population by SES is taken from official comuna-level estimations, and the percentage of the pop-ulation who is a 15-17 year old female is taken from the CASEN survey.

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“socioeco-nomic level” variable, as included in ENjuv, but this variable changes substantially from round to round and is not clearly defined in the meth-odological documents of the survey. Results, nevertheless, are not very sensitive to these op-tions, even if individual-based rather than geo-graphical-based SES are used. The grouping is done so the percentages of the population living in either the higher or lower SES are as close to 30% as possible.

Results

The AFER goes from 0.037 to 0.043 births per person-year, between 1990 and 1997 (Table 1), and then goes down to 0.037 in 2011. The ratio of AFER by SES, on the other hand, decreased from 1.45 in 1990 to 1.10 in 2011 (Figure 1). In other words, in 1990 and 2011 the adolescent fertility rate appears to be around 45% and 10% higher, respectively, amongst the 30% of the population that lives in lower SES areas, as compared to the 30% that lives in higher ones. Moreover, the abso-lute gap between them also dropped from nearly 0.014 births per person-year in 1990 to 0.004 in 2011.

ASEX rises from 20% to 39% between 1997 and 2012 (Table 1). The ratio of ASEX by rela-tive SES among adolescents aged 15-17 dropped

from 1.24 to 1.01 between 1997 and 2012 (Fig-ure 1). The absolute gap in sexual initiation also dropped, from 6 percentage points in 1997 to around zero in 2012.

At the same time, the relative household per-capita wage between the highest and lowest SES areas remained at 2.5 (approximately) from 1990 in 2011. Therefore it is probably not a mere clos-ing gap in SES itself that is explainclos-ing the closclos-ing SES gap in AFER.

Conclusions

The size of some dimensions of socioeconomic inequalities in adolescent fertility and sexual initiation have decreased between 1990 and 2011. This exercise shows that even in Chile, the most unequal country among the Organisation for Economic Co-operation and Development (OECD) 7, there are clear improvements in some

dimensions of health inequality.

This evidence is consistent with a study by Comisión Económica para América Latina y el Caribe (CEPAL) 8, where the comparative low

de-mographic inequality (including adolescent fer-tility) in Chile is emphasized, among a group of seven Latin-American countries. Is also consis-tent with evidence regarding a closing gap in in-fant mortality in Chile (CEPAL 9 compares urban

Table 1

Levels of female adolescent (15-17 years-old) fertility rate (AFER) and sexual initiation (ASEX), and their low-to-high ratios by socioeconomic status (SES), 1990 to 2011.

Year * AFER ** (per 1,000) ASEX *** (sample size) ASEX (%) AFER/SES ratio ASEX/SES ratio

1990 37 1.45

1992 38 1.49

1994 40 1.58

1996 40 1.36

1997/1998 43 666 20 1.38 1.24

2000 41 540 28 1.43 1.18

2003 35 1,216 25 1.26 1.10

2006 33 1,215 27 1.32 1.14

2009 38 1,429 37 1.05 1.06

2011/2012 37 1,350 39 1.10 1.01

Source: author’s calculations.

* For AFER, 1997 and 2011 are the valid years; for ASEX, 1998 and 2012;

** AFER: the adolescent fertility rate is defined as the single-year number of births by 15-17 year olds females over the total estimated mid-year female population of 15-17 year old. As estimates of AFER come from vital records, official estimates and Encuesta de Caracterización Socioeconómica Nacional (CASEN) survey data, only years where a CASEN survey was collected are included in the table;

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Figure 1

Ratio of female adolescent (15-17 years-old) fertility rate (AFER) and sexual initiation (ASEX) between the 30% of the population that lives in the socioeconomically better off areas against the corresponding 30% in the worse off ones, 1990 to 2011.

Source: author’s calculations.

AFER: relative socioeconomic status (SES) is computed for all comunas included in CASEN (between 70% and 90% of total comunas in Chile, comprising the majority of the Chilean population), by ranking their average household-per-capita wage. ASEX: Relative SES is obtained by hierarchically sorting comunas by the “proportion of interviewed population that report having a household head with a professional occupation”. For AFER, 1997 and 2011 are the valid years; for ASEX, 1998 and 2012.

and rural areas; Castro 10 compares geographic

relative SES).

Two general comments that are worth men-tioning. First, greater attention of reproductive health programs to adolescents of higher rela-tive socioeconomic level is necessary. Further exploration of the data shows that in higher so-cioeconomic areas ASEX decreased and AFER remained constant. Second, amidst a lack of standard population-level measures 11,

oppo-site socioeconomic groups of equal relative size

provides an opportunity for internationally and inter-temporally comparable studies.

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Resumo

Devido a questões de pesquisa e política, é muito im-portante medir a evolução das diferenças socioeconô-micas da fertilidade das adolescentes (AFER) ao longo do tempo. O objetivo foi prover uma descrição quanti-tativa da evolução das desigualdades socioeconômicas nas diferenças socioeconômicas da fertilidade das ado-lescentes. Combinado dados chilenos de boa qualidade, este estudo calculou a razão de AFER das adolescentes (15-17 anos) entre os 30% da população de áreas mais pobres economicamente (numerador) com os 30% da população de áreas mais ricas (denominador). A razão de AFER das adolescentes por condição socioeconômi-ca apresenta uma estabilidade na evolução: de 1,45 em 1999 para 1,10 em 2011. A razão da iniciação sexu-al também mostra uma queda: de 1,24 em 1997 para 1,01 em 2012. A magnitude de algumas das dimensões das desigualdades socioeconômicas em relação à ferti-lidade e à iniciação sexual das adolescentes tem apre-sentado queda entre 1990 a 2011. Este exercício mostra que, no Chile, um dos países mais desiguais entre os membros da Organização para a Cooperação e Desen-volvimento Econômico, existem algumas melhoras nas desigualdades em relação à saúde.

Fertilidade; Comportamento Sexual; Adolescente

References

1. Manlove J, Ikramullah E, Mincieli L, Holcombe E, Danish S. Trends in sexual experience, contracep-tive use, and teenage childbearing: 1992-2002. J Adolesc Health 2009; 44:413-23.

2. United Nations. Adolescent fertility since the In-ternational Conference on Population and Devel-opment (ICPD) in Cairo. http://www.un.org/en/ development/desa/population/publications/pdf/ fertility/Report_Adolescent-Fertility-since-ICPD. pdf (accessed on 10/Mar/2014).

3. Rodríguez J. Variables intermedias de la fecundi-dad adolescente en Chile: Evolución, desigualfecundi-dad e implicancias de políticas. Rev Chil Salud Pública 2009; 13:127-35.

4. Instituto Nacional de Estadísticas. Demographic yearbook 2013. Santiago de Chile: Instituto Nacio-nal de Estadísticas; 2014.

5. Ministerio de Salud de Chile. Situación actual del embarazo adolescente en Chile. 2012.http:// www.mineduc.cl/usuarios/convivencia_escolar/ doc/201210251259030.situacion_actual_emba razo_adolescente_en_chile.pdf (accessed on 10/ Mar/2014).

6. Currie C, Molcho M, Boyce W, Holstein B, Tor-sheim T, Richter M. Researching health inequali-ties in adolescents: the development of the Health Behaviour in School-Aged Children (HBSC) family affluence scale. Soc Sci Med 2008; 66:1429-36. 7. Gurría A. Going for growth: reforming for a strong

and balanced recovery. Paris: Organisation for Economic Co-operation and Development; 2013. 8. Comisión Económica para América Latina y el

Caribe. Panorama Social de América Latina 2005. Santiago de Chile: Comisión Económica para América Latina y el Caribe; 2005.

9. Comisión Económica para América Latina y el Caribe. Mortalidad en la niñez. Santiago de Chile: Comisión Económica para América Latina y el Ca-ribe; 2011.

10. Castro R. Indicios de igualdad demográfica en Chi-le: el caso de la mortalidad infantil. Papeles de Po-blación 2015; 21:189-201.

11. Buhi ER, Goodson P. Predictors of adolescent sex-ual behavior and intention: a theory-guided sys-tematic review. J Adolesc Health 2007; 40:4-21.

Submitted on 30/Jun/2014

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Castro R. The evolution of the socioeconomic gap in fertility among adolescents in Chile, 1990-2011. Cad Saúde Pública 2015; 31(8): 1789-1793.

http://dx.doi.org/10.1590/0102-311XER011115

A revista foi informada sobre a necessidade de in-clusão de Agradecimentos no artigo. O texto com-pleto é:

The journal has been informed of the need of inclusion of Acknowledgments in the paper. The complete text is:

La revista fue informada sobre la necesidad de in-clusión de Agradecimientos en el artículo. El texto completo es:

Acknowledgments

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